How is data movement becoming a critical bottleneck in AI compute architectures?
Sailesh Kumar, CEO from Baya Systems, explains:
– Data movement between compute, I/O, memory, and caches is emerging as a fundamental challenge in scaling AI systems efficiently
– On-chip network protocols like U-link and ARM standards are becoming essential for enabling compute elements to communicate effectively
– Their chiplet-aware solution creates unique fabric architectures that optimize data movement while maintaining low power and silicon costs
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